Machine Learning (scikit-learn)

Machine Learning (scikit-learn) Mastery Path

Curated projects specifically designed for mastering Machine Learning (scikit-learn). Build real-world applications and gain practical experience.

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Duration

6-8 weeks

Projects

Tasks

Learners

Machine Learning (scikit-learn) Projects Curriculum

Build real-world applications and master practical skills through these Machine Learning (scikit-learn)-focused projects

Ensemble Fraud Detection Matrix

Strategically build a heavily imbalanced credit-card fraud detection system. Execute rigorous SMOTE oversampling algorithms, construct isolated Random Forest and XGBoost predictors, and aggregate them securely using advanced Voting Classifiers.

Technologies

Pythonscikit-learnXGBoost+1 more

Duration

8-10 weeks

Tasks

3 tasks

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Machine Learning (scikit-learn) Mastery Path

Machine Learning (scikit-learn) Projects Curriculum

Ensemble Fraud Detection Matrix

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